DeepSeek · Open weightsDeepSeek: DeepSeek V4 Flash 0423
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DeepSeek: DeepSeek V4 Flash 0423
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DeepSeek · Released 2026-07-31 · v2026-07-31 · Open · Context 1.0M tokens
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Language Cap
79
Cadle Language Cap 79 · 79%
Benchmark average
79.4
Not enough benchmark results yet
Pricing
$0.091
$0.18 / 1M out · 308.2 pts/$
CADLE CAP vs MODEL MATRIX
Cadle Cap ranks models on every published score we have for them — harder benchmarks weigh more. Missing tests are skipped, not zeroed. It answers who is stronger than whom in today's pool.
Model Matrix is the datasheet: Overall, Intelligence, Coding, Agentic, MMLU, GPQA, Math, LiveCodeBench, HumanEval, Reason, ARC-AGI. A dash means unmeasured. AVG is an importance-weighted mean of that model's filled cells only.
MODEL MATRIX · TRUTH CENTER CELLS
Overall
66.0
Intelligence
34.3
Coding
71.2
Agentic
78.7
MMLU
No data yet
GPQA
90.8
Math
97.1
LiveCodeBench
50.3
HumanEval
No data yet
Reason
98.0
ARC-AGI
No data yet
Coverage AVG
79.4
Cadle Cap ranks models with within-benchmark percentiles so ARC-AGI ~40 and MMLU ~90 never compete raw. Coverage AVG is an importance-weighted mean of filled expert cells only — blanks are skipped, not zeroed.
ANALYSIS · TRUTH CENTER
Hard benches (GPQA · ARC-AGI · LCB · Agentic) sit left — a mid-40 on ARC-AGI can still be frontier. Broader benches on the right are easier and often higher.